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Previous issue date: 2016-03-09 / This paper aims to evaluate the effect of the major Student Loan Program of the
Federal Government in Brazil, called Fies, on workers??? income in one side and on access
to high education. The database used are the Rela????o Anual de Informa????es Sociais ???
RAIS identified by the social security number in 2003 and 2013 and individual - Ministry
of Employment and Social Security and beneficiaries of Fies that started and finished high
education between 2004 and 2012 and those data came from National Fund for
Development of Education ??? FNDE. The methodology applied is the Propensity Score
Matching ??? PSM which in this case compares two groups: beneficiaries of Fies, called
treated group; and formal workers that were not benefited by Fies, however they have very
similar characteristics to those that were. These workers are the controlled group. The
results from logistic regression show that likelihood to use Fies increases if the workers
have finished high school, are working in specific sectors of activities such as
Transformation Industry, Extractive Industry, Construction, Trade, Services and are living
in the Northeast region. Contrary, the likelihood to use Fies decreases if the workers are
white, living in the Southeast, South or Midwest region and are older. The average
treatment effect on treated (ATT) is positive, indicating that Fies contributes to increase
workers??? income in around 20% and it has also contributed to increase access to high
education. Finally, the T-test shows that distribution of covariates is balanced and the
nearest neighbor matching was effective in getting the counterfactual very similar to the
treated group. / O objetivo deste trabalho ?? avaliar o efeito do Programa de Financiamento
Estudantil (Fies) sobre a renda do trabalhador de um lado e sobre o n??vel de acesso ao
ensino superior, de outro. Os dados usados s??o a Rela????o Anual de Informa????es Sociais ???
RAIS do Minist??rio do Trabalho e Previd??ncia Social ??? MTPS de 2003 e 2013 e os dados
dos indiv??duos que iniciaram e terminaram o n??vel superior com o Fies entre 2004 e 2012,
disponibilizados pelo Fundo Nacional de Desenvolvimento da Educa????o ??? FNDE. A
metodologia escolhida ?? a t??cnica do Propensity Score Matching (PSM) que compara dois
grupos: pessoas que foram beneficiadas pelo Fies e formam o grupo tratado e pessoas que
n??o foram beneficiadas pelo Fies, mas s??o estatisticamente muito parecidas com as pessoas
que foram e formam o contrafactual. O resultado da regress??o log??stica indica que a
probabilidade de usar o Fies aumenta se o indiv??duo possui n??vel m??dio completo, se
trabalha na ind??stria de transforma????o, ind??stria extrativa, constru????o, no setor de
com??rcio, servi??os e moram na regi??o Nordeste. A probabilidade diminui se o trabalhador
?? da cor branca, trabalha nas regi??es Sudeste, Sul ou Centro-Oeste e quanto maior a idade.
O efeito m??dio do tratamento sobre os tratados (ATT) ?? positivo, indicando que o sal??rio
mensal de quem usou o Fies ?? cerca de 20% maior que o sal??rio de quem n??o usou e n??o
concluiu o ensino superior. Por fim, o teste-t mostra que a distribui????o das covariadas
usadas no modelo ?? equilibrada e que o algoritmo de pareamento (nearest neighbour) foi
eficaz em obter um contrafactual muito similar ao grupo tratado.
Identifer | oai:union.ndltd.org:IBICT/oai:bdtd.ucb.br:tede/2060 |
Date | 09 March 2016 |
Creators | Rocha, Wilsimara Maciel |
Contributors | Monasterio, Leonardo Monteiro, Ehrl, Philipp |
Publisher | Universidade Cat??lica de Bras??lia, Programa Strictu Sensu em Economia de Empresas, UCB, Brasil, Escola de Gest??o e Neg??cios |
Source Sets | IBICT Brazilian ETDs |
Language | Portuguese |
Detected Language | English |
Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
Format | application/pdf |
Source | reponame:Biblioteca Digital de Teses e Dissertações da UCB, instname:Universidade Católica de Brasília, instacron:UCB |
Rights | info:eu-repo/semantics/openAccess |
Relation | -1139962560771343510, 500, 500, 600, -3429419691752109715, -4990464306938454779 |
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